![]() The FL model developed in the current work is based on 509 experimental observations involving 11 independent test parameters each. FL, resembling human reasoning, is capable of modeling non-linear functions of arbitrary complexity and dealing with imprecision in data. In this paper, a computational intelligence method, fuzzy logic (FL), is chosen to develop a model to estimate downhole cuttings concentration. The complexity of the cuttings transport process has led to the use of alternative modeling approaches. Cuttings transport is a complex phenomenon influenced by different parameters such as flow rate, drillstring rotation, rate of penetration, eccentricity, well configuration, drilling fluid properties and cuttings properties. Proper selection of drilling parameters during planning phase to ensure an adequately clean well is the key to avoid costly drilling operational problems such as mechanical stuck pipe and high drillstring torque and drag resulting in not reaching the drilling target for highly deviated/ERD wells. ![]()
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